Jude Kastens

Associate Research Professor

Kansas Applied Remote Sensing Program

Contact Information

Phone 785-864-1519
Fax 785-864-1534
Office 123 Higuchi Hall

Curriculum Vitae



Statistics and numerical analysis


Jude Kastens is a Research Associate Professor at the Kansas Applied Remote Sensing Program (KARS). In 2008, he completed his Ph.D. in Mathematics, focusing on statistical cross validation and floodplain mapping. He received a M.A. in Mathematics in 1999, focusing on numerical analysis and signal processing, and has been employed at KARS since then. He received a B.A. in Mathematics and a B.S.E. in Secondary Education from the University of Kansas in 1996. Jude also has over 12 years of experience working on the Kastens family farm in Rawlins County in northwest Kansas, and each summer goes back to help with the wheat harvest.

Research Interests

Jude is a numerical analyst and all-purpose data modeler with extensive experience working with MATLAB, ESRI ArcMap and ERDAS Imagine software. The focus of his work with the Kansas Applied Remote Sensing Program involves using remote sensing data for agricultural applications such as crop yield forecasting, but his work extends to database management, hydrologic modeling, land cover change detection and ecological modeling.


Dam Breach Modeling for Medium and High Hazard Dams in Kansas--Work Statement #2

Jan. 2010 - present Kansas

Dam Breach Modeling for Medium and High Hazard Dams in Kansas--Work Statement #1

Jan. 2010 - present Kansas

Reservoir-Off-Stream Storage Siting in Eastern Kansas

Jan. 2010 - present Eastern Kansas

FLDPLN Model Software Development

Jan. 2010 - present Kansas

Remote Sensing-Based Evaluation of Vegetation Indices

Jan. 2008 - present Kansas

Statistical Analysis of Historical Data for Assessment of Small Value Crop Monitoring

Jan. 2008 - Dec. 2008 Statewide

Watershed Classification System for Tiered Diagnosis of Biological Impairments: A Scalable, Central Plains Focus with National Applicability

March 2003 - March 2007 EPA Region 7 (Iowa, Kansas, Missouri, Nebraska)

Research in the Incubation of Commercial Remote Sensing Products

Jan. 2002 - Dec. 2003 Statewide

Interaction Between Land Cover/Land Use Dynamics and Climatological Variability in the Western Oklahoma/Kansas/Texas Indicator Region

Jan. 1997 - Jan. 2001 Regional




June 27, 2017 United States
Soy next to forest in Mato Grosso, Brazil

Mato Grosso Land Cover

June 13, 2017 Mato Grosso, Brazil
Western Kansas Potential Playa Areas (image by Jude Kastens)

Kansas Playas

June 8, 2017 Kansas
City of Brady in Texas

Reconstructing the Texas Flood of 1938

November 9, 2010 Texas
Image taken from the Depth to Flood - Eastern Kansas web mapping application.

Depth To Flood Eastern Kansas

September 25, 2009 Eastern Kansas
Web mapping application created to display the various inundation levels of Perry Lake, KS.

Perry Lake Extents

August 11, 2009 Jefferson County
Screen shot of the Clinton Lake Extents web mapping application

Clinton Lake Extents

July 1, 2009 Douglas County

Published Works

Martinko, E. A., J. deNoyelles, K. Bosnak, M. Jakubauskas, D. Huggins, J. Kastens, Apollonia Shreders, D. Baker, A. Blackwood, S. Campbell, Chrisopher Rogers. 2014. Atlas of Kansas Lakes: A resource for communities, policy makers and planners. Kansas Biological Survey, Lawrence, KS 242.
Dobbs, K., J. Kastens, S. Egbert. 2010. Evaluation of NED Elevation Data and the FLDPLN Model for Inundation Extent Estimation.
Kastens, J., K. Dobbs, S. Egbert. 2010. Mapping Potential Flood Extents in Eastern Kansas.
Kastens, J., K. Dobbs. 2010. Inundation fact sheet 2010.
Kastens, J., K. Dobbs, M. Luna. 2010. Reconstructing the Texas Flood of 1938.
Rowley, R.J., K.P. Price, J. Kastens. 2007. Remote sensing and the rancher: Linking rancher perception and remote sensing. Rangeland Ecology and Management 60(4):359-368.
Wardlow, B.D., S. Egbert, J. Kastens. 2007. Analysis of time-series MODIS 250m vegetation index data for crop classification in the U.S. Central Great Plains. Remote Sensing of Environment 108(3):290-310. http://www.sciencedirect.com/scienc...
Martinko, E. A., J. Whistler, D. Peterson, J. Kastens, R. Hagen, D. Huggins, M. Jakubauskas. 2007. A watershed classification system for tiered diagnosis of biological impairments: A scalable, Central Plains focus with national applicability: Final report to the U.S. Environmental Protection Agency STAR Program. Kansas Biological Survey, Lawrence, KS Report No. 141:153 pp.
Brown, J.C., W.E. Jepson, J. Kastens, B.D. Wardlow, J. Lomas, K. Price. 2007. Multitemporal, moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon. GIScience and Remote Sensing 44(2):117-148.
Kriz, J., D. Huggins, C. C. Freeman, J. Kastens. 2007. Assessment of floodplain wetlands of the Lower Missouri River using a reference-based study approach. Kansas Biological Survey, Lawrence, KS Report No. 142:63 pp.
Wardlow, B.D., J. Kastens, S. Egbert. 2006. Using USDA crop progress data for the evaluation of greenup onset date calculated from MODIS 250-meter data. Photogrammetric Engineering and Remote Sensing 72(11):1225-1234.
Breshears, D.D., N.S. Cobb, P.M. Rich, K. Price, C.D. Allen, R.G. Balice, W.H. Romme, J. Kastens, M.L. Floyd, J. Belnap, J.J. Anderson, O.B. Myers, C.W. Meyer. 2005. Regional vegetation die-off in response to global change type drought. Proceedings of the National Academy of Science 102(42):15144-15148. http://www.pnas.org/content/102/42/...
Atwood, J., T. Watts, K. Price, J. Kastens. 2005. The big picture--satellite remote sensing applications in rangeland assessment and crop insurance. Reviewed and Published Proceedings,Agricultural Outlook Forum 2005 Speech Booklet 2:26 pp.
Kastens, J., T.L. Kastens, D.L.A. Kastens, K. Price, E. A. Martinko, R. Lee. 2005. Image masking for crop yield forecasting using time series AVHRR NDVI imagery. Remote Sensing of Environment 99(3):341-356. http://www.sciencedirect.com/scienc...
Kastens, J., M. Jakubauskas, D.E. Lerner. 2003. Using temporal averaging to decouple annual and nonannual information in AVHRR NDVI time series. IEEE Transactions on Geoscience and Remote Sensing 41(11):2590-2594.
Jakubauskas, M., D.R. Legates, J. Kastens. 2002. Crop identification using harmonic analysis of time-series AVHRRNDVI data. Computers and Electronics in Agriculture 37:127-139.
Jakubauskas, M., D. Peterson, J. Kastens, D. Legates. 2002. Time series remote sensing of landscape-vegetation interactions in the southern Great Plains. Photogrammetric Engineering and Remote Sensing 68(10):1021-1030.
Jakubauskas, M., D.R. Legates, J. Kastens. 2001. Harmonic analysis of time-series AVHRR NDVI data. Photogrammetric Engineering and Remote Sensing 67(4):461-470.
Kastens, J., K. Price, D.L. Kastens, E. A. Martinko. 2001. Forecasting pre-harvest crop yields using time series analysis of AVHRR NDVI composite imagery. ASPRS Annual Meeting.
Kastens, D.L., K. Price, E. A. Martinko, J. Kastens. 2001. Using crop masks and remotely sensed data to develop pre-harvest forecasts of winter wheat yields in Kansas. ASPRS Annual Meeting.
Jakubauskas, M., D.R. Legates, J. Kastens. 2000. Crop identification using harmonic analysis of time-series AVHRR NDVI data. Geospatial Information in Agriculture and Forestry Vol. II:9-16.